1.Preparation of monoclonal antibodies against human leukocyte immunoglobulin like receptor B2 and preliminary identification of their activity in vitro
Chinese Journal of Biologicals 2025;38(05):549-556
Objective To prepare monoclonal antibodies against human leukocyte immunoglobulin like receptor subfamilyB2(LILRB2) by hybridoma technique and preliminarily identify their activity in vitro, so as to provide a new strategy for targeting“cold”tumor therapy.MethodsThe extracellular region of human LILRB2 protein was expressed, purified by affinity chro-matography, and then used to immunize BALB/c mice to prepare anti-LILRB2 monoclonal antibodies with high specificityand affinity. The variable regions of light chain and heavy chain of mouse monoclonal antibodies were inserted into an expres-sion vector containing human constant regions by DNA recombination technique to produce chimeric antibodies, and theactivity in vitro was identified by ELISA, flow cytometry and bio-layer interferometry(BLI).ResultsSeven anti-LILRB2monoclonal antibodies with high purity were successfully prepared by hybridoma technique, all of which could recognizeLILRB2 protein with high specificity. Among them, 11C6-8, 43H7-2 and 53A6-11 had superior performance, with the EC_(50)values of 0. 272 3, 0. 431 8 and 0. 344 0 μg/mL, respectively. The chimeric antibodies obtained by humanized modificationexhibited higher binding ability to LILRB2 and effectively blocked the binding of LILRB2 to its ligand, human leukocyteantigen-G(HLA-G), among which the IC_(50)values of 11C6-8 and 53A6-11 were 0. 429 2 and 0. 283 6 μg/mL.ConclusionThe specific monoclonal antibodies against LILRB2 were successfully prepared, and expected to be developed into new anti-tumor immune antibody drugs, which provides a new idea for the development of therapy strategy targeting tumors.
2.Distribution and resistance profiles of bacterial strains isolated from cerebrospinal fluid in hospitals across China:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Juan MA ; Lixia ZHANG ; Yang YANG ; Fupin HU ; Demei ZHU ; Han SHEN ; Wanqing ZHOU ; Wenen LIU ; Yanming LI ; Yi XIE ; Mei KANG ; Dawen GUO ; Jinying ZHAO ; Zhidong HU ; Jin LI ; Shanmei WANG ; Yafei CHU ; Yunsong YU ; Jie LIN ; Yingchun XU ; Xiaojiang ZHANG ; Jihong LI ; Bin SHAN ; Yan DU ; Ping JI ; Fengbo ZHANG ; Chao ZHUO ; Danhong SU ; Lianhua WEI ; Fengmei ZOU ; Xiaobo MA ; Yanping ZHENG ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Hua YU ; Xiangning HUANG ; Sufang GUO ; Xuesong XU ; Chao YAN ; Fangfang HU ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Fang DONG ; Zhiyong LÜ ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Chuanqing WANG ; Pan FU ; Yunjian HU ; Xiaoman AI ; Ziyong SUN ; Zhongju CHEN ; Hong ZHANG ; Chun WANG ; Yuxing NI ; Jingyong SUN ; Kaizhen WEN ; Yirong ZHANG ; Ruyi GUO ; Yan ZHU ; Jinju DUAN ; Jianbang KANG ; Xuefei HU ; Shifu WANG ; Yunsheng CHEN ; Qing MENG ; Yong ZHAO ; Ping GONG ; Ruizhong WANG ; Hua FANG ; Jilu SHEN ; Jiangshan LIU ; Hongqin GU ; Jiao FENG ; Shunhong XUE ; Bixia YU ; Wen HE ; Lin JIANG ; Longfeng LIAO ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(3):279-289
Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3%)and from outpatient and emergency care patients(4.7%).Overall,19.6%of the isolates were from children and 80.4%were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0%and 32.0%,respectively.Coagulase negative Staphylococcus accounted for 73.0%of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2%in children and 45.6%in adults.The prevalence of MRCNS was 67.6%in adults and 69.5%in children.A small number of vancomycin-resistant Enterococcus faecium(2.2%)and linezolid-resistant Enterococcus faecalis(3.1%)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2%and 76.4%in children,70.5%and 63.5%in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3%and 47.7%in children,6.4%and 47.9%in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0%and 37.1%in children,81.7%and 39.9%in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.
3.Changing antibiotic resistance profiles of the bacterial strains isolated from geriatric patients in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Xiaoman AI ; Yunjian HU ; Chunyue GE ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(3):290-302
Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3%of the total number of clinical isolates from all patients.Overall,21.8%of the 514 715 strains were gram-positive bacteria,and 78.2%were gram-negative bacteria.Majority(90.9%)of the strains were isolated from inpatients.About 42.9%of the strains were isolated from respiratory specimens,and 22.9%were isolated from urine.More than half(60.7%)of the strains were isolated from male patients,and 39.3%isolated from females.About 51.1%of the strains were isolated from patients aged 65-<75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8%in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2%,1.5%)and linezolid-resistant strains(3.4%,0.3%)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3%,4.0%,and 1.7%in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2%)to imipenem and meropenem were 20.9%and 22.3%,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7%-7.8%of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6%)to imipenem and meropenem were 68.4%and 70.6%respectively,while 28.5%and 24.3%of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-<75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.
4.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
5.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
6.Research progress of anti-inflammation therapy and immunotherapy for acute pancreatitis
Chinese Journal of Clinical Medicine 2025;32(1):120-124
At present, the incidence and mortality rate of severe acute pancreatitis is 15%-20% and about 20%, respectively, which can lead to local and systemic complications of patients and huge medical costs. The occurrence of acute pancreatitis is closely related to inflammatory response. This article reviews the progress of anti-inflammation therapy and immunotherapy of acute pancreatitis, aiming to provide reference for treatment in patients with acute pancreatitis.
7.Comparison of CT features between hyperlipidemic acute pancreatitis and acute biliary pancreatitis
Chinese Journal of Clinical Medicine 2025;32(4):642-646
Objective To analyze the difference of CT features between hyperlipidemic acute pancreatitis (HLAP) and acute biliary pancreatitis (ABP). Methods Retrospective analysis was performed on 66 HLAP patients and 96 ABP patients admitted to East Hospital Affiliated to Tongji University from January 2018 to December 2019. The clinical data and CT features of patients between the two groups were compared. Results There were statistically significant differences in the clinical data and CT grades (A-E) between the HLAP group and the ABP group (P<0.01). ABP group showed more swelling and effusion in pancreatic body and tail (58.3%), 16.7% of swelling and effusion in whole pancreas, but rare swelling and effusion located in pancreatic head and neck alone (3.1%). The HLAP group showed more swelling and effusion in whole pancreas (48.5%), 39.4% of swelling and effusion in pancreatic head and neck, but rare swelling and effusion located in pancreatic body and tail alone (12.1%). Conclusions CT features of HLAP are significantly different from the ABP, which may be useful for early precise diagnosis and treatment for HLAP.
8.GJB4 Gene Expression in Relation to Clinical and Pathological Features of Pancreatic Cancer Patients
Runlin FENG ; Zongqi DENG ; Mengyao WU ; Yunna WANG ; Yu WANG ; Guilan LIU ; Yanping TAO
Journal of Kunming Medical University 2025;46(1):78-86
Objective To investigate the expression of GJB4 gene in pancreatic cancer tissue and its correlation with clinicopathology.Methods The expression levels of GJB4 mRNA in pancreatic cancer and adjacent cancer tissues were analyzed using bioinformatics to analyze the Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)RNA sequencing datasets.A total of 120 pancreatic cancer samples and 40 adjacent cancer samples from the Pathology Department of The Second Affiliated Hospital of Kunming Medical University from January 2019 to December 2023 were collected and sorted.Immunohistochemistry staining method was used to detect the expression difference of GJB4 protein between the two groups.RT-qPCR method was used to detect the expression levels of GJB4 in four pancreatic cancer cell lines.Univariate and multivariate Cox regression and Kaplan-Meier curves were used to analyze the clinical pathological data of GJB4 and pancreatic cancer patients.DAVID functional annotation bioinformatics and GSEA enrichment analysis were used to explore the relevant pathways of GJB4 in pancreatic cancer.Results The expression level of GJB4 mRNA in pancreatic cancer was higher than that in adjacent tissues,and the high expression of GJB4 was significantly associated with poor prognosis of patients(P<0.05).Immunohistochemical analysis showed that GJB4 protein was brown-yellow granular in pancreatic cancer tissues,mainly expressed in cytoplasm and cell membrane,and GJB4 protein expression was up-regulated in pancreatic cancer(P<0.05).The RT-qPCR test results showed that out of 4 pancreatic cancer cell lines,3 of them had upregulated expression(P<0.05).COX regression analysis showed that GJB4 gene was an independent risk factor in the prognosis of pancreatic cancer patients.The results of GO enrichment analysis showed that GJB4 was related to the transmembrane transport,ion channel,signal release and membrane potential regulation of pancreatic cancer.GSEA analysis showed that GJB4 was enriched in the Wnt/β-catenin signaling pathway.Conclusion In pancreatic cancer,the high expression level of GJB4 is closely related to the clinicopathological features of the patients,which may predict the poor prognosis of the patients.GJB4 may be involved in regulating the Wnt/β-catenin signaling pathway of pancreatic cancer,and is expected to be one of the potential biomarkers of pancreatic cancer prognosis.
9.Construction and application of a quality and safety evaluation index system for the daytime chemotherapy
Yanping DENG ; Feng HUANG ; Jian SHI ; Yujiao YU ; Lanlan ZHANG ; Xiaxiang XUE ; Xiaohua WU ; Peicheng LIN ; Yang SUN
Chinese Journal of Hospital Administration 2025;41(8):609-613
Objective:To establish a quality and safety evaluation index system for the daytime chemotherapy in the Day Medical Management Quality Control Center of Fujian Province, providing references for objectively evaluating the quality of day chemotherapy.Methods:From December 2023 to August 2024, this study screened the initial indexes of the quality and safety evaluation index system for daytime chemotherapy through literature search and expert discussions. An index system and its weights were determined by using two rounds of Delphi method and precedence chart method. The quality of daytime chemotherapy services in 8 hospitals was evaluated by using a thousand point scale checklist based on this index system.Results:The expert motivation of both rounds of Delphi method was 100%, and the expert authority coefficient was 0.92. The quality and safety evaluation index system for daytime chemotherapy included 3 first-level indicators, 13 second-level indicators, and 54 third-level indicators; Among them, the weights of the first-level indicator included structure quality, process quality, and result quality were 0.334, 0.556, and 0.110, respectively. The quality and safety scores of daytime chemotherapy in 8 hospitals ranged from 812 to 980 points, with an average of 933 points.Conclusions:The quality and safety evaluation index system for daytime chemotherapy could objectively and comprehensively evaluate the quality and safety of hospital daytime chemotherapy.
10.Effect of necrosulfonamide on microglial pyroptosis after traumatic brain injury
Jinghuan LI ; Kunlin LIU ; Orazmyradov BERDIMYRAT ; Sixian HUANG ; Zhiming FENG ; Zelin LAI ; Yuxi ZOU ; Yingqian CAI ; Yanping TANG ; Xiaodan JIANG
Chinese Journal of Neuromedicine 2025;24(4):347-361
Objective:To explore the effect of necroptosis inhibitor necrosulfonamide (NSA) on traumatic brain injury (TBI) mouse model and BV2 cell pyroptosis model and their mechanisms.Methods:(1) In vivo experiments: 50 mice were randomly divided into sham-operated group, TBI group, TBI+1 mg/kg NSA group, TBI+5 mg/kg NSA group, and TBI+10 mg/kg NSA group, with 10 mice in each group. TBI model was established using a modified Feeney's weight-drop method; 4 h after modeling, 90% corn oil, 1 mg/kg NSA, 5 mg/kg NSA, or 10 mg/kg NSA was administered into the mice, respectively. Mice in the sham-operated group only had circular bone window opened without being subjected to impact. At 48 hours after modeling, neurological function was evaluated by modified neurological function score (mNSS), serum lactate dehydrogenase (LDH) content was detected by LDH detection kit, contents of interleukin (IL)-18, IL-1β and tumor necrosis factor-α (TNF-α) in the brain tissues were detected by enzyme-linked immunosorbent assay (ELISA), and expressions and localizations of ionized calcium binding adaptor molecule 1 (IBA-1), cysteinyl aspartate specific proteinase-1 (Caspase-1) p20 and gasdermin D (GSDMD) in the injured parietal cortex were detected by double immunofluorescent staining. (2) In vitro experiments: BV2 cells were divided into control group, lipopolysaccharide (LPS)+adenosine triphosphate (ATP)+dimethyl sulfoxide (DMSO) group, LPS+ATP+5 μmol/L NSA group, LPS+ATP+10 μmol/L NSA group, and LPS+ATP+15 μmol/L NSA group. Cells in the latter 4 groups were induced by LPS+ATP to establish BV2 cell pyroptosis model, and incubated with 2 μL DMSO, 5 μmol/L NSA, 10 μmol/L NSA, and 15 μmol/L NSA for 1 hour, respectively; cells in the control group were cultured conventionally. Contents of LDH, IL-1β, IL-18, and TNF-α in the cell culture supernatant were detected by ELISA; pyroptosis was detected by calcein acetoxymethyl ester (CAM)/propidium iodide (PI) double staining; protein expressions of nucleotide binding domain-like receptor protein 3 (NLRP3), Caspase-1 p20, GSDMD, and N-terminal fragment of GSDMD (GSDMD-N) were detected by Western blotting. Results:(1) Compared with the TBI group, the TBI+1 mg/kg NSA group, TBI+5 mg/kg NSA group and TBI+10 mg/kg NSA group had decreased mNSS score and serum LDH content, decreased IL-1β and IL-18 contents in the brain tissues and number of Caspase-1 p20 + cells in the injured parietal cortex, successively, with significant differences ( P<0.05). Compared with the TBI group ([287.80±12.26] cells/mm 2), the TBI+1 mg/kg NSA group, TBI+5 mg/kg NSA group, and TBI+10 mg/kg NSA group had decreased number of Iba-1 +GSDMD + cells in the injured parietal cortex ([213.70±11.87] cells/mm 2, [205.30±9.15] cells/mm 2, [131.70±13.69] cells/mm 2),successively, with significant differences ( P<0.05). Compared with the TBI group, the TBI+5 mg/kg NSA group and TBI+10 mg/kg NSA group had significantly decreased number of Iba-1 + cells in the injured parietal cortex, and the TBI+10 mg/kg NSA group had significantly decreased TNF-α content in the brain tissues and number of GSDMD + cells in the injured parietal cortex ( P<0.05). Compared with the TBI group ([247.20±9.88] cells/mm 2), the TBI+10 mg/kg NSA group had significantly decreased number of Iba-1 +Caspase-1 p20 + cells in the injured parietal cortex ([181.70±9.37] cells/mm 2, P<0.05). (2) Compared with the LPS+ATP+DMSO group, the LPS+ATP+5 μmol/L NSA group, LPS+ATP+10 μmol/L NSA group, and LPS+ATP+15 μmol/L NSA group had decreased IL-18 content in the supernatant, successively, with significant differences ( P<0.05); and compared with the LPS+ATP+DMSO group, the LPS+ATP+10 μmol/L NSA group and LPS+ATP+15 μmol/L NSA group had significantly decreased contents of LDH, IL-1β, and TNF-α in the supernatant and ratio of PI +/CAM + cell counts ( P<0.05). Compared with the LPS+ATP+DMSO group (2.62±0.50), the LPS+ATP+10 μmol/L NSA group and LPS+ATP+15 μmol/L NSA group had significantly decreased Caspase-1 p20 protein expression (1.36±0.14, 1.32±0.07, P<0.05). Compared with the LPS+ATP+DMSO group (5.00±1.67), the LPS+ATP+5 μmol/L NSA group and LPS+ATP+15 μmol/L NSA group had significantly decreased GSDMD protein expression (1.42±0.26, 1.68±0.32, P<0.05). Compared with the LPS+ATP+DMSO group (2.28±0.24), the LPS+ATP+15 μmol/L NSA group had significantly decreased GSDMD-N protein expression (1.23±0.08, P<0.05). Conclusion:NSA can inhibit microglial pyroptosis after TBI by inhibiting the Caspase-1 p20/GSDMD pathway, thereby playing a neuroprotective role.


Result Analysis
Print
Save
E-mail